I'm trying to change the whisker definition to extend to the minimum and maximum (i.e., not to consider anything as an outlier), as in this question, but only for a single level of the factor that is mapped to the x-axis. The code in that answer will change the whisker definition for the entire plot.
What's the proper way, if any, to go about this?
Extending the example linked in the question, you could do something like:
f <- function(x) {
r <- quantile(x, probs = c(0.05, 0.25, 0.5, 0.75, 0.95))
names(r) <- c("ymin", "lower", "middle", "upper", "ymax")
r
}
# sample data
d <- data.frame(x = gl(2,50), y = rnorm(100))
# do it
ggplot(d, aes(x, y)) +
stat_summary(data = subset(d, x == 1), fun.data = f, geom = "boxplot") +
geom_boxplot(data = subset(d, x == 2))
In this case, factor x == 2 gets the "regular" geom_boxplot, but factor x == 1 is the "extended".
In your case, and being a little more abstract, you probably want to do something like this:
ggplot(d, aes(x, y)) +
stat_summary(data = subset(d, x == "special_factor"), fun.data = f, geom = "boxplot") +
geom_boxplot(data = subset(d, x != "special_factor"))
